Publié avant-hier
Chaos Engineer
@ Yochana
Toronto, Ontario
En bref
Yochana is hiring a contract Chaos Engineer to design and run resiliency and chaos tests across cloud, Kubernetes, APIs and microservices. The work covers AWS FIS experiments, HA and DR validation, and reliability metrics such as SLA, SLO, MTTR, RTO and RPO. The posting requires 5+ years of experience.
Responsabilités :
- Design and execute chaos and resiliency test scenarios
- Validate HA, DR, failover and auto-healing
- Identify resilience gaps and SPOFs
- Automate reliability testing and monitoring
- Define and track SLA, SLO, MTTR, RTO and RPO
Résumé des exigences :
- 5+ years of experience
- Java or Python with microservices and APIs
- Kubernetes, Docker and a major cloud platform
- AWS FIS and chaos testing tools
- Dynatrace, AppDynamics, Prometheus and Grafana
Outils et compétences
Source et dates
Type de source non vérifié · apify-linkedin
- Date publiée par l’employeur
- 2026-11-08
- Première détection par notre source
- 2026-11-10
- Mise à jour du dossier source
- 2026-11-10
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Détails du poste
| Niveau | Senior |
| Domaine | Développement logiciel |
| Expérience | 5 an(s) et plus |
| Milieu de travail | Bureau, Domicile |
| Position | Surtout assis |
| Exigences physiques | physique faible · ordinateur élevé |
| Langues | English |
Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.
Yochana
| Champ | Valeur |
|---|---|
| Offres sur Jobsy | 2 |
Experience: 5+ Years
Key Responsibilities
- Design and execute resiliency and chaos testing scenarios across cloud, Kubernetes, APIs, microservices, and distributed environments.
- AWS FIS knowledge, setup and Run Experiments
- AWS CDK knowledge.
- Identify resilience gaps, SPOFs, and operational risks and drive remediation.
- Validate High Availability (HA), Disaster Recovery (DR), failover, auto-healing, and recovery processes.
- Automate testing and reliability validation using scripting and cloud-native tools.
- Monitor application and infrastructure behavior using observability platforms such as AppDynamics, Prometheus, and Grafana.
- Collaborate with DevOps, SRE, Infrastructure, and Application teams to improve system reliability.
- Define and track reliability metrics including SLA, SLO, SLI, MTTR, RTO, and RPO.
Required Skills
- Strong experience in Java/Python, Microservices, APIs, Kubernetes, Docker, and Cloud Platforms (Azure/GCP/AWS).
- Hands-on experience with monitoring and observability tools such as Dynatrace metrics and observability, AppDynamics, Prometheus, and Grafana.
- Knowledge of Reliability Engineering, Chaos Testing, Incident Analysis, and Resiliency Validation.
- Failure-as-a-Service platforms to achieve resiliency in infrastructure failures, network, and application failures.
- Chaos Testing mechanism and tools such as AWS-FIS, Lambda testing, On-premise , OpenShift testing.
- Monitoring tools test/scenario capture and report creation through standardized templates and hypothesis formation.
- Experience with automation, CI/CD, and cloud-native architectures.
Excellent troubleshooting, analytical, and communication skills
Journal
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